Natural Language Processing approach to NLP Meta model automation

Abstract

Neuro Linguistic Programming (NLP) is one of the most utilised approaches for personality development and Meta model is one of the most important techniques in this process. Usually, when one speaks about a problem or a situation, the words that one chooses will delete, distort or generalize portions of their experience. Meta model, which is a set of specific questions or language patterns, can be used to understand and recover the information hidden behind the words used. This technique can be adopted to understand other people's problems or enable them to understand their own issues better. Applying the Meta Model, however, requires a great level of skill and experience for correct identification of deletion, distortion and generalization. Using the appropriate recovery questions is challenging for NLP practitioners and Psychologists. Moreover, the efficiency and accuracy of existing methods on the Meta model can potentially be hindered by human errors such as personal judgment or lack of experience and skill. This research aims to automate the process of using the Meta Model in conversation in order to eliminate human errors, thereby increasing the efficiency and accuracy of this method. An intelligent software has been developed using Natural Language Processing, with the ability to apply the Meta model techniques during conversation with its user. Comparisons of this software with performance of an established NLP practitioner have shown increased accuracy in identification of the deletion and generalization processes. Recovery of information has also been more efficient in the software in comparison to an NLP practitioner.

Natural Language Processing: Components, Advances, Tools and Industrial Applications

“…For example the word "dog" has one morpheme but the word "dogs" have two morphemes as -s denotes plurality. [6] C. Lexical Lexical analysis involves analyzing and identifying the structure of words and deals with the study of level of words with their respective lexical meanings and part of speech. This level utilizes the language's lexicon (collection of words and phrases), which is a collection of individual lexemes.…”

“…Lexical analysis is used to divide chunks into words, paragraph and sentences. [6] D. Syntactic Syntactic analysis also known as parsing involves arranging of words in a manner that shows relationship among the words. It allows extraction of phrases which convey more meaning than the individual word.…”

“…It is a part of NLP that identifies goals, plans and evaluate the situation to achieve the goal. [6]…”

“…Some parts are added by default while other parts of the units may have to be removed. [6][7] 4) Linguistic Resources: To support the realization of the information, we must be chose linguistic resources. The choices of particular words, syntactic constructs, idioms are the resources which will come down.…”

“…It is the science of language which includes Phonology which refers to the study of sound, Morphology refers to the study of construction of words, Pragmatics deals with understanding sentences in different situations, Syntax refers to arranging of words and Semantics determines the possible meanings of a sentence. [6] Fig. 1.…”